stat_type is not working

[jingliulj]

In MoSeq2-Analysis-Visualization-Notebook.ipynb, the stat_type is not behaving as expected. I ran the below code, but got almost the same fingerprint plot as using stat_type='mean'.

stat_type = 'std'
n_bins = 100  # resolution of distribution 
range_type = 'robust'  # robust or full
preprocessor = MinMaxScaler()

summary, range_dict = create_fingerprint_dataframe(moseq_df, stats_df, stat_type=stat_type, groupby_list=groupby, n_bins=n_bins, range_type=range_type)
plotting_fingerprint(summary, progress_paths['plot_path'], range_dict, preprocessor=preprocessor)

Expected Behavior

The fingerprint plot should show the std summary

Current Behavior

The fingerprint plot showed the mean summary but the range of the velocity column is different

Possible Solution

I think the problem is in create_fingerprint_dataframe. The pivot_table function is not using the stat_type for getting the summary.

Your Environment

moseq2-extract, version 1.1.2
moseq2-pca, version 1.1.3
moseq2-model, version 1.1.2
moseq2-viz, version 1.2.0
MoSeq2 app version: v1.2.0
Python path: /home/jingliulj/miniconda3/envs/moseq2-app/bin/python3.7